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Representation Learning

20,822 papers

Papers per year

2
9
101
309
2011
2283
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Papers

Learning Brain Connectivity of Alzheimer's Disease from Neuroimaging Data NIPS 2009
Factor Modeling for Advertisement Targeting NIPS 2009
An Infinite Factor Model Hierarchy Via a Noisy-Or Mechanism NIPS 2009
Heavy-Tailed Symmetric Stochastic Neighbor Embedding NIPS 2009
On Invariance in Hierarchical Models NIPS 2009
Submanifold density estimation NIPS 2009
Nonlinear Learning using Local Coordinate Coding NIPS 2009
No evidence for active sparsification in the visual cortex NIPS 2009
Constructing Topological Maps using Markov Random Fields and Loop-Closure Detection NIPS 2009
Replicated Softmax: an Undirected Topic Model NIPS 2009
Linearly constrained Bayesian matrix factorization for blind source separation NIPS 2009
Sparse and Locally Constant Gaussian Graphical Models NIPS 2009
Sparse Metric Learning via Smooth Optimization NIPS 2009
The 'tree-dependent components' of natural scenes are edge filters NIPS 2009
Modeling Social Annotation Data with Content Relevance using a Topic Model NIPS 2009
Group Sparse Coding NIPS 2009
Decoupling Sparsity and Smoothness in the Discrete Hierarchical Dirichlet Process NIPS 2009
Measuring Invariances in Deep Networks NIPS 2009
Nonparametric Latent Feature Models for Link Prediction NIPS 2009
Sharing Features among Dynamical Systems with Beta Processes NIPS 2009
Correlation Coefficients are Insufficient for Analyzing Spike Count Dependencies NIPS 2009
Modelling Relational Data using Bayesian Clustered Tensor Factorization NIPS 2009
Kernel Methods for Deep Learning NIPS 2009
Learning with Compressible Priors NIPS 2009
Inter-domain Gaussian Processes for Sparse Inference using Inducing Features NIPS 2009